import os
os.environ["SEARCHAPI_API_KEY"] = ""
from langchain_community.utilities import SearchApiAPIWrapper
search = SearchApiAPIWrapper()
search.run("Obama's first name?")
'Barack Obama Full name: Barack Hussein Obama II'
Using as part of a Self Ask With Search Chain
os.environ["OPENAI_API_KEY"] = ""
from langchain_community.utilities import SearchApiAPIWrapper
from langchain.tools import Tool
from langchain_openai import OpenAI
llm = OpenAI(temperature=0)
search = SearchApiAPIWrapper()
tools = [
Tool(
name="intermediate_answer",
func=search.run,
description="useful for when you need to ask with search",
)
]
from langchain.agents import create_agent
agent = create_agent("gpt-4.1-mini", tools)
input_message = {
"role": "user",
"content": "Who lived longer: Plato, Socrates, or Aristotle?",
}
for step in agent.stream(
{"messages": [input_message]},
stream_mode="values",
):
step["messages"][-1].pretty_print()
================================ Human Message =================================
Who lived longer: Plato, Socrates, or Aristotle?
================================== Ai Message ==================================
Tool Calls:
intermediate_answer (call_Q0JquDV3SWfnn3rkwJkJaffG)
Call ID: call_Q0JquDV3SWfnn3rkwJkJaffG
Args:
__arg1: Lifespan of Plato
intermediate_answer (call_j9rXzVlrCcGc8HOFnKUH6j5E)
Call ID: call_j9rXzVlrCcGc8HOFnKUH6j5E
Args:
__arg1: Lifespan of Socrates
intermediate_answer (call_IBQT2qn5PzDE6q0ZyfPdhRaX)
Call ID: call_IBQT2qn5PzDE6q0ZyfPdhRaX
Args:
__arg1: Lifespan of Aristotle
================================= Tool Message =================================
Name: intermediate_answer
384–322 BC was an Ancient Greek philosopher and polymath. His writings cover a broad range of subjects spanning the natural sciences, philosophy, linguistics, ...
The Greek philosopher Aristotle (384-322 B.C.) made significant and lasting contributions to nearly every aspect of human knowledge, ...
Aristotle's lifespan (384 - 322) (jan 1, 384 BC – jan 1, 322 BC). Added to timeline: Political Philosophy timeline. ByEdoardo. 25 Aug 2020.
Aristotle was one of the greatest philosophers and scientists the world has ever seen. He was born in 384 bc at Stagirus, a Greek seaport on the coast of Thrace ...
393–c. 370 bce), king of Macedonia and grandfather of Alexander the Great (reigned 336–323 bce). After his father's death in 367, Aristotle ...
It is difficult to rule out that possibility decisively, since little is known about the period of Aristotle's life from 341–335. He evidently ...
Lifespan: c. 384 B.C. to 322 B.C.; Contributions: Considered one of the greatest thinkers in various fields including politics, psychology, and ...
Aristotle (Greek: Ἀριστοτέλης Aristotélēs, pronounced [aristotélɛːs]) lived 384–322 BC.
Aristotle (384 B.C.E.—322 B.C.E.). Aristotle is a towering figure in ancient Greek philosophy, who made important contributions to logic, criticism, ...
Aristotle. Born: 384 BC in Stagirus, Macedonia, Greece Died: 322 BC in Chalcis, Euboea, Greece. Aristotle was not primarily a mathematician but made ...
================================== Ai Message ==================================
Based on the information:
- Plato reportedly lived to be around eighty or eighty-one years old.
- Socrates' exact lifespan is not directly stated here, but he is known historically to have lived approximately from 470 BC to 399 BC, making him around 71 years old.
- Aristotle lived from 384 BC to 322 BC, which means he was about 62 years old.
Therefore, Plato lived longer than both Socrates and Aristotle.
Custom parameters
SearchApi wrapper can be customized to use different engines like Google News, Google Jobs, Google Scholar, or others which can be found in SearchApi documentation. All parameters supported by SearchApi can be passed when executing the query.search = SearchApiAPIWrapper(engine="google_jobs")
search.run("AI Engineer", location="Portugal", gl="pt")[0:500]
'No good search result found'
Getting results with metadata
import pprint
search = SearchApiAPIWrapper(engine="google_scholar")
results = search.results("Large Language Models")
pprint.pp(results)
{'search_metadata': {'id': 'search_6Lpb2Z8vDqdsPRbrGkVgQzRy',
'status': 'Success',
'created_at': '2025-05-11T03:39:28Z',
'request_time_taken': 0.86,
'parsing_time_taken': 0.01,
'total_time_taken': 0.87,
'request_url': 'https://scholar.google.com/scholar?q=Large+Language+Models&hl=en',
'html_url': 'https://www.searchapi.io/api/v1/searches/search_6Lpb2Z8vDqdsPRbrGkVgQzRy.html',
'json_url': 'https://www.searchapi.io/api/v1/searches/search_6Lpb2Z8vDqdsPRbrGkVgQzRy'},
'search_parameters': {'engine': 'google_scholar',
'q': 'Large Language Models',
'hl': 'en'},
'search_information': {'query_displayed': 'Large Language Models',
'total_results': 6390000,
'page': 1,
'time_taken_displayed': 0.08},
'organic_results': [{'position': 1,
'title': 'ChatGPT for good? On opportunities and '
'challenges of large language models for '
'education',
'data_cid': 'uthwmf2nU3EJ',
'link': 'https://www.sciencedirect.com/science/article/pii/S1041608023000195',
'publication': 'E Kasneci, K Seßler, S Küchemann, M '
'Bannert… - Learning and individual …, '
'2023 - Elsevier',
'snippet': '… state of large language models and their '
'applications. We then highlight how these '
'models can be … With regard to challenges, '
'we argue that large language models in '
'education require …',
'inline_links': {'cited_by': {'cites_id': '8166055256995715258',
'total': 4675,
'link': 'https://scholar.google.com/scholar?cites=8166055256995715258&as_sdt=2005&sciodt=0,5&hl=en'},
'versions': {'cluster_id': '8166055256995715258',
'total': 16,
'link': 'https://scholar.google.com/scholar?cluster=8166055256995715258&hl=en&as_sdt=0,5'},
'related_articles_link': 'https://scholar.google.com/scholar?q=related:uthwmf2nU3EJ:scholar.google.com/&scioq=Large+Language+Models&hl=en&as_sdt=0,5'},
'resource': {'name': 'osf.io',
'format': 'PDF',
'link': 'https://osf.io/preprints/edarxiv/5er8f/download'},
'authors': [{'name': 'E Kasneci',
'id': 'bZVkVvoAAAAJ',
'link': 'https://scholar.google.com/citations?user=bZVkVvoAAAAJ&hl=en&oi=sra'},
{'name': 'K Seßler',
'id': 'MbMBoN4AAAAJ',
'link': 'https://scholar.google.com/citations?user=MbMBoN4AAAAJ&hl=en&oi=sra'},
{'name': 'S Küchemann',
'id': 'g1jX5QUAAAAJ',
'link': 'https://scholar.google.com/citations?user=g1jX5QUAAAAJ&hl=en&oi=sra'},
{'name': 'M Bannert',
'id': 'TjfQ8QkAAAAJ',
'link': 'https://scholar.google.com/citations?user=TjfQ8QkAAAAJ&hl=en&oi=sra'}]},
{'position': 2,
'title': 'A survey on evaluation of large language '
'models',
'data_cid': 'o93zfHYlUTIJ',
'link': 'https://dl.acm.org/doi/abs/10.1145/3641289',
'publication': 'Y Chang, X Wang, J Wang, Y Wu, L Yang… - '
'ACM transactions on …, 2024 - dl.acm.org',
'snippet': '… 3.1 Natural Language Processing Tasks … '
'the development of language models, '
'particularly large language models, was to '
'enhance performance on natural language '
'processing tasks, …',
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'total': 8,
'link': 'https://scholar.google.com/scholar?cluster=3625720365842685347&hl=en&as_sdt=0,5'},
'related_articles_link': 'https://scholar.google.com/scholar?q=related:o93zfHYlUTIJ:scholar.google.com/&scioq=Large+Language+Models&hl=en&as_sdt=0,5'},
'resource': {'name': 'acm.org',
'format': 'PDF',
'link': 'https://dl.acm.org/doi/pdf/10.1145/3641289'},
'authors': [{'name': 'Y Chang',
'id': 'Hw-lrpAAAAAJ',
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'id': 'Q7Ieos8AAAAJ',
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{'name': 'J Wang',
'id': 'hBZ_tKsAAAAJ',
'link': 'https://scholar.google.com/citations?user=hBZ_tKsAAAAJ&hl=en&oi=sra'},
{'name': 'Y Wu',
'id': 'KVeRu2QAAAAJ',
'link': 'https://scholar.google.com/citations?user=KVeRu2QAAAAJ&hl=en&oi=sra'},
{'name': 'L Yang',
'id': 'go3sFxcAAAAJ',
'link': 'https://scholar.google.com/citations?user=go3sFxcAAAAJ&hl=en&oi=sra'}]},
{'position': 3,
'title': 'A comprehensive overview of large language '
'models',
'data_cid': 'UDLkJGuOVl4J',
'link': 'https://arxiv.org/abs/2307.06435',
'publication': 'H Naveed, AU Khan, S Qiu, M Saqib, S '
'Anwar… - arXiv preprint arXiv …, 2023 - '
'arxiv.org',
'snippet': '… Large Language Models (LLMs) have recently '
'demonstrated remarkable capabilities in '
'natural language processing tasks and '
'beyond. This success of LLMs has led to a '
'large influx of …',
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'versions': {'cluster_id': '6797777278393922128',
'total': 4,
'link': 'https://scholar.google.com/scholar?cluster=6797777278393922128&hl=en&as_sdt=0,5'},
'related_articles_link': 'https://scholar.google.com/scholar?q=related:UDLkJGuOVl4J:scholar.google.com/&scioq=Large+Language+Models&hl=en&as_sdt=0,5',
'cached_page_link': 'https://scholar.googleusercontent.com/scholar?q=cache:UDLkJGuOVl4J:scholar.google.com/+Large+Language+Models&hl=en&as_sdt=0,5'},
'resource': {'name': 'arxiv.org',
'format': 'PDF',
'link': 'https://arxiv.org/pdf/2307.06435'},
'authors': [{'name': 'H Naveed',
'id': 'k5dpooQAAAAJ',
'link': 'https://scholar.google.com/citations?user=k5dpooQAAAAJ&hl=en&oi=sra'},
{'name': 'AU Khan',
'id': 'sbOhz2UAAAAJ',
'link': 'https://scholar.google.com/citations?user=sbOhz2UAAAAJ&hl=en&oi=sra'},
{'name': 'S Qiu',
'id': 'OPNVthUAAAAJ',
'link': 'https://scholar.google.com/citations?user=OPNVthUAAAAJ&hl=en&oi=sra'},
{'name': 'M Saqib',
'id': 'KvbLR3gAAAAJ',
'link': 'https://scholar.google.com/citations?user=KvbLR3gAAAAJ&hl=en&oi=sra'},
{'name': 'S Anwar',
'id': 'vPJIHywAAAAJ',
'link': 'https://scholar.google.com/citations?user=vPJIHywAAAAJ&hl=en&oi=sra'}]},
{'position': 4,
'title': 'Large language models in medicine',
'data_cid': 'Ph9AwHTmhzAJ',
'link': 'https://www.nature.com/articles/s41591-023-02448-8',
'publication': 'AJ Thirunavukarasu, DSJ Ting, K '
'Elangovan… - Nature medicine, 2023 - '
'nature.com',
'snippet': '… HuggingChat offers a free-to-access '
'chatbot with a similar interface to ChatGPT '
'but uses Large Language Model Meta AI '
'(LLaMA) as its backend model 30 . Finally, '
'cheap imitations of …',
'inline_links': {'cited_by': {'cites_id': '3497017024792502078',
'total': 2474,
'link': 'https://scholar.google.com/scholar?cites=3497017024792502078&as_sdt=2005&sciodt=0,5&hl=en'},
'versions': {'cluster_id': '3497017024792502078',
'total': 7,
'link': 'https://scholar.google.com/scholar?cluster=3497017024792502078&hl=en&as_sdt=0,5'},
'related_articles_link': 'https://scholar.google.com/scholar?q=related:Ph9AwHTmhzAJ:scholar.google.com/&scioq=Large+Language+Models&hl=en&as_sdt=0,5'},
'resource': {'name': 'google.com',
'format': 'PDF',
'link': 'https://drive.google.com/file/d/1FKEGsSZ9GYOeToeKpxB4m3atGRbC-TSm/view'},
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'id': '3qb1AYwAAAAJ',
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'id': 'KbrpC8cAAAAJ',
'link': 'https://scholar.google.com/citations?user=KbrpC8cAAAAJ&hl=en&oi=sra'},
{'name': 'K Elangovan',
'id': 'BE_lVTQAAAAJ',
'link': 'https://scholar.google.com/citations?user=BE_lVTQAAAAJ&hl=en&oi=sra'}]},
{'position': 5,
'title': 'A watermark for large language models',
'data_cid': 'BlSyLHT4iiEJ',
'link': 'https://proceedings.mlr.press/v202/kirchenbauer23a.html',
'publication': 'J Kirchenbauer, J Geiping, Y Wen… - '
'International …, 2023 - '
'proceedings.mlr.press',
'snippet': '… We propose a watermarking framework for '
'proprietary language models. The … in the '
'language model just before it produces a '
'probability vector. The last layer of the '
'language model …',
'inline_links': {'cited_by': {'cites_id': '2417017327887471622',
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'link': 'https://scholar.google.com/scholar?cites=2417017327887471622&as_sdt=2005&sciodt=0,5&hl=en'},
'versions': {'cluster_id': '2417017327887471622',
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'link': 'https://scholar.google.com/scholar?cluster=2417017327887471622&hl=en&as_sdt=0,5'},
'related_articles_link': 'https://scholar.google.com/scholar?q=related:BlSyLHT4iiEJ:scholar.google.com/&scioq=Large+Language+Models&hl=en&as_sdt=0,5',
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'resource': {'name': 'mlr.press',
'format': 'PDF',
'link': 'https://proceedings.mlr.press/v202/kirchenbauer23a/kirchenbauer23a.pdf'},
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'link': 'https://scholar.google.com/citations?user=48GJrbsAAAAJ&hl=en&oi=sra'},
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'link': 'https://scholar.google.com/citations?user=206vNCEAAAAJ&hl=en&oi=sra'},
{'name': 'Y Wen',
'id': 'oUYfjg0AAAAJ',
'link': 'https://scholar.google.com/citations?user=oUYfjg0AAAAJ&hl=en&oi=sra'}]},
{'position': 6,
'title': 'Welcome to the era of chatgpt et al. the '
'prospects of large language models',
'data_cid': '3UrgC1BmpV8J',
'link': 'https://link.springer.com/article/10.1007/s12599-023-00795-x',
'publication': 'T Teubner, CM Flath, C Weinhardt… - '
'Business & Information …, 2023 - '
'Springer',
'snippet': 'The emergence of Large Language Models '
'(LLMs) in combination with easy-to-use '
'interfaces such as ChatGPT, Bing Chat, and '
'Google’s Bard represent both a Herculean '
'task and a …',
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'format': 'PDF',
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'id': '5Iy85HsAAAAJ',
'link': 'https://scholar.google.com/citations?user=5Iy85HsAAAAJ&hl=en&oi=sra'},
{'name': 'C Weinhardt',
'id': 'lhfZxjAAAAAJ',
'link': 'https://scholar.google.com/citations?user=lhfZxjAAAAAJ&hl=en&oi=sra'}]},
{'position': 7,
'title': 'Talking about large language models',
'data_cid': '3eYYI745r_0J',
'link': 'https://dl.acm.org/doi/abs/10.1145/3624724',
'publication': 'M Shanahan - Communications of the ACM, '
'2024 - dl.acm.org',
'snippet': '… Recently, it has become commonplace to use '
'the term “large language model” both for the '
'generative models themselves and for the '
'systems in which they are embedded, '
'especially in …',
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'resource': {'name': 'acm.org',
'format': 'PDF',
'link': 'https://dl.acm.org/doi/pdf/10.1145/3624724'},
'authors': [{'name': 'M Shanahan',
'id': '00bnGpAAAAAJ',
'link': 'https://scholar.google.com/citations?user=00bnGpAAAAAJ&hl=en&oi=sra'}]},
{'position': 8,
'title': 'Explainability for large language models: A '
'survey',
'data_cid': '0AqRKEINMw4J',
'link': 'https://dl.acm.org/doi/abs/10.1145/3639372',
'publication': 'H Zhao, H Chen, F Yang, N Liu, H Deng, H '
'Cai… - ACM Transactions on …, 2024 - '
'dl.acm.org',
'snippet': '… Let us consider a scenario where we have a '
'language model and we input a specific text '
'into the model. The model then produces a '
'classification output, such as sentiment …',
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'link': 'https://dl.acm.org/doi/pdf/10.1145/3639372'},
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{'name': 'H Cai',
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{'position': 9,
'title': 'Emergent abilities of large language models',
'data_cid': 'hG0iVOrOguoJ',
'link': 'https://arxiv.org/abs/2206.07682',
'publication': 'J Wei, Y Tay, R Bommasani, C Raffel, B '
'Zoph… - arXiv preprint arXiv …, 2022 - '
'arxiv.org',
'snippet': 'Scaling up language models has been shown to '
'predictably improve performance and sample '
'efficiency on a wide range of downstream '
'tasks. This paper instead discusses an …',
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'format': 'PDF',
'link': 'https://arxiv.org/pdf/2206.07682'},
'authors': [{'name': 'J Wei',
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'link': 'https://scholar.google.com/citations?user=wA5TK_0AAAAJ&hl=en&oi=sra'},
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'link': 'https://scholar.google.com/citations?user=VBclY_cAAAAJ&hl=en&oi=sra'},
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'link': 'https://scholar.google.com/citations?user=WMBXw1EAAAAJ&hl=en&oi=sra'},
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'link': 'https://scholar.google.com/citations?user=I66ZBYwAAAAJ&hl=en&oi=sra'}]},
{'position': 10,
'title': 'A systematic evaluation of large language '
'models of code',
'data_cid': '-iQSW0h72hYJ',
'link': 'https://dl.acm.org/doi/abs/10.1145/3520312.3534862',
'publication': 'FF Xu, U Alon, G Neubig, VJ Hellendoorn '
'- Proceedings of the 6th ACM …, 2022 - '
'dl.acm.org',
'snippet': '… largest language models for code. We also '
'release PolyCoder, a large open-source '
'language model for code, trained exclusively '
'on code in 12 different programming '
'languages. In the …',
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